Transmission Channels Measurements and Communication System Design for Future MM-wave Communications (mm Wave TRACCS)

Lead Research Organisation: University College London
Department Name: Electronic and Electrical Engineering

Abstract

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Publications

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Al-Jarrah M (2023) A Unified Performance Framework for Integrated Sensing-Communications Based on KL-Divergence in IEEE Transactions on Wireless Communications

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Li R (2023) Scenario-Aware Learning Approaches to Adaptive Channel Estimation in IEEE Transactions on Communications

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Liu F (2022) Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond in IEEE Journal on Selected Areas in Communications

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Meng X (2023) Vehicular Connectivity on Complex Trajectories: Roadway-Geometry Aware ISAC Beam-Tracking in IEEE Transactions on Wireless Communications

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Mohammad A (2023) A Memory-Efficient Learning Framework for Symbol Level Precoding With Quantized NN Weights in IEEE Open Journal of the Communications Society

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Mohammad A (2023) An Unsupervised Deep Unfolding Framework for Robust Symbol-Level Precoding in IEEE Open Journal of the Communications Society

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Nopchinda D (2024) Multiband Comb-Enabled mm-Wave Transmission in IEEE Transactions on Microwave Theory and Techniques

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Nopchinda D (2023) Experimental Demonstration of Multiband Comb-Enabled mm-Wave Transmission in IEEE Microwave and Wireless Technology Letters

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Salem A (2023) Secure Rate Splitting Multiple Access: How Much of the Split Signal to Reveal? in IEEE Transactions on Wireless Communications

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Su N (2024) Sensing-Assisted Eavesdropper Estimation: An ISAC Breakthrough in Physical Layer Security in IEEE Transactions on Wireless Communications

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Temiz M (2023) An Experimental Study of Radar-Centric Transmission for Integrated Sensing and Communications in IEEE Transactions on Microwave Theory and Techniques

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Valiulahi I (2023) Net-Zero Energy Dual-Functional Radar-Communication Systems in IEEE Transactions on Green Communications and Networking

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Zhang J (2023) Joint Precoding and CSI Dimensionality Reduction: An Efficient Deep Unfolding Approach in IEEE Transactions on Wireless Communications